Data Engineer Manager (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

0.0

Posted On

04 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Leadership, Data Infrastructure, Data Governance, Data Pipelines, Data Warehousing, Data Modeling, Python, SQL, Git, Snowflake, dbt, Airflow, Spark, Redshift, BigQuery

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineering Manager in the United States. This is a hands-on leadership role for an experienced data professional eager to build and scale a modern data ecosystem from the ground up. As Data Engineering Manager, you will lead a team of skilled engineers in designing, implementing, and optimizing data infrastructure that powers business insights and decision-making. You’ll collaborate closely with senior stakeholders, ensuring data reliability, governance, and accessibility across the organization. The ideal candidate combines deep technical expertise with strong leadership and communication skills, fostering a culture of collaboration, innovation, and excellence within the data team. Accountabilities Lead the end-to-end development and deployment of a modern, scalable data warehouse architecture. Partner with stakeholders to understand data requirements and align solutions with business objectives. Design and implement robust data pipelines, ensuring quality, integrity, and availability across systems. Evaluate and select appropriate tools and technologies for data storage, processing, and analytics. Define and enforce best practices for data governance, documentation, and lifecycle management. Oversee daily team operations, providing technical guidance, mentorship, and performance management. Work across multiple data sources within a complex ecosystem to drive consistency and reliability. Ensure compliance with data security and privacy standards throughout all systems and processes. 10+ years of professional experience in data engineering, with a strong record of building and maintaining large-scale data systems. 3+ years in a leadership or management role, ideally in cross-functional or high-performing teams. Expertise in modern data stack technologies such as Snowflake, dbt, Airflow, Spark, Redshift, or BigQuery. Proficiency in Python, SQL, and Git-based version control systems. Strong understanding of data modeling, data warehousing, and distributed systems architecture. Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments. Bachelor’s degree in Computer Science, Information Systems, or a related field. Proven ability to manage multiple priorities and deliver results in a fast-paced environment. Competitive salary with performance-based rewards. Comprehensive health insurance (medical, dental, vision, and prescription plans). Health Savings Account (HSA) and Flexible Spending Accounts (FSA). 401(k) retirement savings plan with discretionary company match. Company-paid and supplemental life and disability insurance. Paid vacation, holidays, and volunteer time. Employee assistance and wellness programs. Access to employee discounts and professional development opportunities. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead the development and deployment of a scalable data warehouse architecture while collaborating with stakeholders to align data solutions with business objectives. Oversee team operations, ensuring data quality, integrity, and compliance with security standards.